code: def run(self, **kwargs):
      prompt = self.prompt.format(**kwargs)
      input_ids = self.tokenizer.encode(prompt, return_tensors="pt")
      output = self.model.generate(
          input_ids, max_length=100, num_beams=5, early_stopping=True
      )
      return self.tokenizer.decode(output[0], skip_special_tokens=True)
  
file_path: nebuly/optimization/chatllama/artifacts/extend_rlhf_dataset.py
imports: import os.path
  import numpy
  from langchain import OpenAI, LLMChain, PromptTemplate
  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
label_desc: Use image node_id 2 for calling the HuggingFaceChain obj's underlying member method code with example usage: obj.run() and returns: self